Udemy - Machine Learning with Javascript

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名前:	Udemy - Machine Learning with Javascript
_DESCRIPTION_: In the coming years, there won't be a single industry in the world untouched by Machine Learning. A transformative force, you can either choose to understand it now, or lose out on a wave of incredible change. You probably already use apps many times each day that rely upon Machine Learning techniques. So why stay in the dark any longer?
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カテゴリ:	Tutorials
言語:	English
合計サイズ:	10.20 GB
情報のハッシュ:	501BC57122D38DA6DB13C5A741531DE660E471FC
を追加することによって:	fclab16
追加日:	2019-01-25 08:35:05
トレントステータス:	Torrent Verified

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ファイルリスト:

ファイル	サイズ
1. What is Machine Learning/1. Getting Started - How to Get Help.mp4	8.35 MB
1. What is Machine Learning/1. Getting Started - How to Get Help.vtt	1.55 kB
1. What is Machine Learning/2. Solving Machine Learning Problems.mp4	62.77 MB
1. What is Machine Learning/2. Solving Machine Learning Problems.vtt	8.19 kB
1. What is Machine Learning/3. A Complete Walkthrough.mp4	109.13 MB
1. What is Machine Learning/3. A Complete Walkthrough.vtt	13.34 kB
1. What is Machine Learning/4. App Setup.mp4	19.27 MB
1. What is Machine Learning/4. App Setup.vtt	3.03 kB
1. What is Machine Learning/5. Problem Outline.mp4	31.21 MB
1. What is Machine Learning/5. Problem Outline.vtt	4.31 kB
1. What is Machine Learning/6. Identifying Relevant Data.mp4	33.91 MB
1. What is Machine Learning/6. Identifying Relevant Data.vtt	5.88 kB
1. What is Machine Learning/7. Dataset Structures.mp4	48.25 MB
1. What is Machine Learning/7. Dataset Structures.vtt	8.12 kB
1. What is Machine Learning/8. Recording Observation Data.mp4	32.74 MB
1. What is Machine Learning/8. Recording Observation Data.vtt	5.34 kB
1. What is Machine Learning/9. What Type of Problem.mp4	47.03 MB
1. What is Machine Learning/9. What Type of Problem.vtt	6.74 kB
10. Natural Binary Classification/1. Introducing Logistic Regression.mp4	23.45 MB
10. Natural Binary Classification/1. Introducing Logistic Regression.vtt	3.45 kB
10. Natural Binary Classification/10. Encoding Label Values.mp4	48.58 MB
10. Natural Binary Classification/10. Encoding Label Values.vtt	6.03 kB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.mp4	70.30 MB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.vtt	9.80 kB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.mp4	32.78 MB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.vtt	5.99 kB
10. Natural Binary Classification/13. A Touch More Refactoring.mp4	87.42 MB
10. Natural Binary Classification/13. A Touch More Refactoring.vtt	10.38 kB
10. Natural Binary Classification/14. Gauging Classification Accuracy.mp4	36.70 MB
10. Natural Binary Classification/14. Gauging Classification Accuracy.vtt	4.81 kB
10. Natural Binary Classification/15. Implementing a Test Function.mp4	54.71 MB
10. Natural Binary Classification/15. Implementing a Test Function.vtt	7.46 kB
10. Natural Binary Classification/16. Variable Decision Boundaries.mp4	68.32 MB
10. Natural Binary Classification/16. Variable Decision Boundaries.vtt	10.06 kB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.mp4	60.20 MB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.vtt	7.86 kB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.mp4	49.45 MB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.vtt	7.18 kB
10. Natural Binary Classification/19. Finishing the Cost Refactor.mp4	49.09 MB
10. Natural Binary Classification/19. Finishing the Cost Refactor.vtt	5.96 kB
10. Natural Binary Classification/2. Logistic Regression in Action.mp4	61.07 MB
10. Natural Binary Classification/2. Logistic Regression in Action.vtt	9.49 kB
10. Natural Binary Classification/20. Plotting Changing Cost History.mp4	42.95 MB
10. Natural Binary Classification/20. Plotting Changing Cost History.vtt	4.95 kB
10. Natural Binary Classification/3. Bad Equation Fits.mp4	55.40 MB
10. Natural Binary Classification/3. Bad Equation Fits.vtt	7.62 kB
10. Natural Binary Classification/4. The Sigmoid Equation.mp4	45.44 MB
10. Natural Binary Classification/4. The Sigmoid Equation.vtt	6.42 kB
10. Natural Binary Classification/5. Decision Boundaries.mp4	79.18 MB
10. Natural Binary Classification/5. Decision Boundaries.vtt	10.56 kB
10. Natural Binary Classification/6. Changes for Logistic Regression.mp4	12.49 MB
10. Natural Binary Classification/6. Changes for Logistic Regression.vtt	1.76 kB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.mp4	59.40 MB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.vtt	8.14 kB
10. Natural Binary Classification/8. Project Download.html	215.00 B
10. Natural Binary Classification/8.1 regressions.zip.zip	34.30 kB
10. Natural Binary Classification/9. Importing Vehicle Data.mp4	38.95 MB
10. Natural Binary Classification/9. Importing Vehicle Data.vtt	5.85 kB
11. Multi-Value Classification/1. Multinominal Logistic Regression.mp4	25.00 MB
11. Multi-Value Classification/1. Multinominal Logistic Regression.vtt	3.16 kB
11. Multi-Value Classification/10. Sigmoid vs Softmax.mp4	62.75 MB
11. Multi-Value Classification/10. Sigmoid vs Softmax.vtt	8.64 kB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.mp4	48.87 MB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.vtt	6.50 kB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.mp4	28.71 MB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.vtt	3.76 kB
11. Multi-Value Classification/13. Calculating Accuracy.mp4	31.30 MB
11. Multi-Value Classification/13. Calculating Accuracy.vtt	4.46 kB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.mp4	49.97 MB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.vtt	7.26 kB
11. Multi-Value Classification/3. A Smarter Refactor!.mp4	38.29 MB
11. Multi-Value Classification/3. A Smarter Refactor!.vtt	5.24 kB
11. Multi-Value Classification/4. A Single Instance Approach.mp4	103.56 MB
11. Multi-Value Classification/4. A Single Instance Approach.vtt	13.46 kB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.mp4	48.49 MB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.vtt	6.69 kB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.mp4	48.45 MB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.vtt	6.33 kB
11. Multi-Value Classification/7. Classifying Continuous Values.mp4	44.55 MB
11. Multi-Value Classification/7. Classifying Continuous Values.vtt	6.18 kB
11. Multi-Value Classification/8. Training a Multinominal Model.mp4	66.09 MB
11. Multi-Value Classification/8. Training a Multinominal Model.vtt	8.62 kB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4	95.18 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.vtt	14.02 kB
12. Image Recognition In Action/1. Handwriting Recognition.mp4	24.69 MB
12. Image Recognition In Action/1. Handwriting Recognition.vtt	3.15 kB
12. Image Recognition In Action/10. Backfilling Variance.mp4	25.72 MB
12. Image Recognition In Action/10. Backfilling Variance.vtt	3.57 kB
12. Image Recognition In Action/2. Greyscale Values.mp4	55.35 MB
12. Image Recognition In Action/2. Greyscale Values.vtt	7.02 kB
12. Image Recognition In Action/3. Many Features.mp4	44.76 MB
12. Image Recognition In Action/3. Many Features.vtt	4.74 kB
12. Image Recognition In Action/4. Flattening Image Data.mp4	57.76 MB
12. Image Recognition In Action/4. Flattening Image Data.vtt	7.80 kB
12. Image Recognition In Action/5. Encoding Label Values.mp4	62.00 MB
12. Image Recognition In Action/5. Encoding Label Values.vtt	7.42 kB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.mp4	79.94 MB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.vtt	10.01 kB
12. Image Recognition In Action/7. Unchanging Accuracy.mp4	20.30 MB
12. Image Recognition In Action/7. Unchanging Accuracy.vtt	2.89 kB
12. Image Recognition In Action/8. Debugging the Calculation Process.mp4	89.05 MB
12. Image Recognition In Action/8. Debugging the Calculation Process.vtt	11.31 kB
12. Image Recognition In Action/9. Dealing with Zero Variances.mp4	47.90 MB
12. Image Recognition In Action/9. Dealing with Zero Variances.vtt	8.78 kB
13. Performance Optimization/1. Handing Large Datasets.mp4	44.46 MB
13. Performance Optimization/1. Handing Large Datasets.vtt	6.17 kB
13. Performance Optimization/10. Tensorflow's Eager Memory Usage.mp4	46.81 MB
13. Performance Optimization/10. Tensorflow's Eager Memory Usage.vtt	6.14 kB
13. Performance Optimization/11. Cleaning up Tensors with Tidy.mp4	24.26 MB
13. Performance Optimization/11. Cleaning up Tensors with Tidy.vtt	3.86 kB
13. Performance Optimization/12. Implementing TF Tidy.mp4	37.60 MB
13. Performance Optimization/12. Implementing TF Tidy.vtt	4.77 kB
13. Performance Optimization/13. Tidying the Training Loop.mp4	45.99 MB
13. Performance Optimization/13. Tidying the Training Loop.vtt	5.48 kB
13. Performance Optimization/14. Measuring Reduced Memory Usage.mp4	18.11 MB
13. Performance Optimization/14. Measuring Reduced Memory Usage.vtt	2.19 kB
13. Performance Optimization/15. One More Optimization.mp4	27.50 MB
13. Performance Optimization/15. One More Optimization.vtt	3.31 kB
13. Performance Optimization/16. Final Memory Report.mp4	36.25 MB
13. Performance Optimization/16. Final Memory Report.vtt	3.93 kB
13. Performance Optimization/17. Plotting Cost History.mp4	47.60 MB
13. Performance Optimization/17. Plotting Cost History.vtt	5.77 kB
13. Performance Optimization/18. NaN in Cost History.mp4	46.38 MB
13. Performance Optimization/18. NaN in Cost History.vtt	6.02 kB
13. Performance Optimization/19. Fixing Cost History.mp4	46.77 MB
13. Performance Optimization/19. Fixing Cost History.vtt	6.30 kB
13. Performance Optimization/2. Minimizing Memory Usage.mp4	38.19 MB
13. Performance Optimization/2. Minimizing Memory Usage.vtt	6.60 kB
13. Performance Optimization/20. Massaging Learning Parameters.mp4	22.55 MB
13. Performance Optimization/20. Massaging Learning Parameters.vtt	2.44 kB
13. Performance Optimization/21. Improving Model Accuracy.mp4	55.02 MB
13. Performance Optimization/21. Improving Model Accuracy.vtt	5.93 kB
13. Performance Optimization/3. Creating Memory Snapshots.mp4	49.06 MB
13. Performance Optimization/3. Creating Memory Snapshots.vtt	7.16 kB
13. Performance Optimization/4. The Javascript Garbage Collector.mp4	55.80 MB
13. Performance Optimization/4. The Javascript Garbage Collector.vtt	8.95 kB
13. Performance Optimization/5. Shallow vs Retained Memory Usage.mp4	56.89 MB
13. Performance Optimization/5. Shallow vs Retained Memory Usage.vtt	8.05 kB
13. Performance Optimization/6. Measuring Memory Usage.mp4	96.63 MB
13. Performance Optimization/6. Measuring Memory Usage.vtt	12.01 kB
13. Performance Optimization/7. Releasing References.mp4	35.98 MB
13. Performance Optimization/7. Releasing References.vtt	4.36 kB
13. Performance Optimization/8. Measuring Footprint Reduction.mp4	43.31 MB
13. Performance Optimization/8. Measuring Footprint Reduction.vtt	5.46 kB
13. Performance Optimization/9. Optimization Tensorflow Memory Usage.mp4	18.54 MB
13. Performance Optimization/9. Optimization Tensorflow Memory Usage.vtt	2.35 kB
14. Appendix Custom CSV Loader/1. Loading CSV Files.mp4	15.86 MB
14. Appendix Custom CSV Loader/1. Loading CSV Files.vtt	2.98 kB
14. Appendix Custom CSV Loader/10. Splitting Test and Training.mp4	75.65 MB
14. Appendix Custom CSV Loader/10. Splitting Test and Training.vtt	10.45 kB
14. Appendix Custom CSV Loader/2. A Test Dataset.mp4	9.58 MB
14. Appendix Custom CSV Loader/2. A Test Dataset.vtt	2.55 kB
14. Appendix Custom CSV Loader/3. Reading Files from Disk.mp4	18.60 MB
14. Appendix Custom CSV Loader/3. Reading Files from Disk.vtt	3.91 kB
14. Appendix Custom CSV Loader/4. Splitting into Columns.mp4	20.34 MB
14. Appendix Custom CSV Loader/4. Splitting into Columns.vtt	3.74 kB
14. Appendix Custom CSV Loader/5. Dropping Trailing Columns.mp4	18.40 MB
14. Appendix Custom CSV Loader/5. Dropping Trailing Columns.vtt	3.42 kB
14. Appendix Custom CSV Loader/6. Parsing Number Values.mp4	31.36 MB
14. Appendix Custom CSV Loader/6. Parsing Number Values.vtt	4.79 kB
14. Appendix Custom CSV Loader/7. Custom Value Parsing.mp4	36.73 MB
14. Appendix Custom CSV Loader/7. Custom Value Parsing.vtt	5.75 kB
14. Appendix Custom CSV Loader/8. Extracting Data Columns.mp4	57.27 MB
14. Appendix Custom CSV Loader/8. Extracting Data Columns.vtt	6.83 kB
14. Appendix Custom CSV Loader/9. Shuffling Data via Seed Phrase.mp4	52.14 MB
14. Appendix Custom CSV Loader/9. Shuffling Data via Seed Phrase.vtt	7.42 kB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4	93.33 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.vtt	11.46 kB
2. Algorithm Overview/10. Gauging Accuracy.mp4	54.02 MB
2. Algorithm Overview/10. Gauging Accuracy.vtt	7.00 kB
2. Algorithm Overview/11. Printing a Report.mp4	33.30 MB
2. Algorithm Overview/11. Printing a Report.vtt	4.40 kB
2. Algorithm Overview/12. Refactoring Accuracy Reporting.mp4	52.30 MB
2. Algorithm Overview/12. Refactoring Accuracy Reporting.vtt	6.71 kB
2. Algorithm Overview/13. Investigating Optimal K Values.mp4	129.14 MB
2. Algorithm Overview/13. Investigating Optimal K Values.vtt	15.72 kB
2. Algorithm Overview/14. Updating KNN for Multiple Features.mp4	70.61 MB
2. Algorithm Overview/14. Updating KNN for Multiple Features.vtt	9.05 kB
2. Algorithm Overview/15. Multi-Dimensional KNN.mp4	44.20 MB
2. Algorithm Overview/15. Multi-Dimensional KNN.vtt	5.53 kB
2. Algorithm Overview/16. N-Dimension Distance.mp4	78.87 MB
2. Algorithm Overview/16. N-Dimension Distance.vtt	13.39 kB
2. Algorithm Overview/17. Arbitrary Feature Spaces.mp4	71.25 MB
2. Algorithm Overview/17. Arbitrary Feature Spaces.vtt	11.73 kB
2. Algorithm Overview/18. Magnitude Offsets in Features.mp4	64.06 MB
2. Algorithm Overview/18. Magnitude Offsets in Features.vtt	7.61 kB
2. Algorithm Overview/19. Feature Normalization.mp4	72.92 MB
2. Algorithm Overview/19. Feature Normalization.vtt	10.15 kB
2. Algorithm Overview/2. Lodash Review.mp4	64.93 MB
2. Algorithm Overview/2. Lodash Review.vtt	13.41 kB
2. Algorithm Overview/20. Normalization with MinMax.mp4	67.04 MB
2. Algorithm Overview/20. Normalization with MinMax.vtt	9.10 kB
2. Algorithm Overview/21. Applying Normalization.mp4	45.35 MB
2. Algorithm Overview/21. Applying Normalization.vtt	6.04 kB
2. Algorithm Overview/22. Feature Selection with KNN.mp4	80.37 MB
2. Algorithm Overview/22. Feature Selection with KNN.vtt	11.20 kB
2. Algorithm Overview/23. Objective Feature Picking.mp4	65.97 MB
2. Algorithm Overview/23. Objective Feature Picking.vtt	8.23 kB
2. Algorithm Overview/24. Evaluating Different Feature Values.mp4	27.97 MB
2. Algorithm Overview/24. Evaluating Different Feature Values.vtt	3.71 kB
2. Algorithm Overview/3. Implementing KNN.mp4	59.34 MB
2. Algorithm Overview/3. Implementing KNN.vtt	9.26 kB
2. Algorithm Overview/4. Finishing KNN Implementation.mp4	50.28 MB
2. Algorithm Overview/4. Finishing KNN Implementation.vtt	7.72 kB
2. Algorithm Overview/5. Testing the Algorithm.mp4	44.97 MB
2. Algorithm Overview/5. Testing the Algorithm.vtt	6.24 kB
2. Algorithm Overview/6. Interpreting Bad Results.mp4	40.75 MB
2. Algorithm Overview/6. Interpreting Bad Results.vtt	5.78 kB
2. Algorithm Overview/7. Test and Training Data.mp4	45.20 MB
2. Algorithm Overview/7. Test and Training Data.vtt	5.38 kB
2. Algorithm Overview/8. Randomizing Test Data.mp4	36.01 MB
2. Algorithm Overview/8. Randomizing Test Data.vtt	5.01 kB
2. Algorithm Overview/9. Generalizing KNN.mp4	39.00 MB
2. Algorithm Overview/9. Generalizing KNN.vtt	4.98 kB
3. Onwards to Tensorflow JS!/1. Let's Get Our Bearings.mp4	76.62 MB
3. Onwards to Tensorflow JS!/1. Let's Get Our Bearings.vtt	10.83 kB
3. Onwards to Tensorflow JS!/10. Creating Slices of Data.mp4	58.91 MB
3. Onwards to Tensorflow JS!/10. Creating Slices of Data.vtt	10.17 kB
3. Onwards to Tensorflow JS!/11. Tensor Concatenation.mp4	44.13 MB
3. Onwards to Tensorflow JS!/11. Tensor Concatenation.vtt	7.45 kB
3. Onwards to Tensorflow JS!/12. Summing Values Along an Axis.mp4	41.36 MB
3. Onwards to Tensorflow JS!/12. Summing Values Along an Axis.vtt	7.27 kB
3. Onwards to Tensorflow JS!/13. Massaging Dimensions with ExpandDims.mp4	57.02 MB
3. Onwards to Tensorflow JS!/13. Massaging Dimensions with ExpandDims.vtt	10.78 kB
3. Onwards to Tensorflow JS!/2. A Plan to Move Forward.mp4	48.65 MB
3. Onwards to Tensorflow JS!/2. A Plan to Move Forward.vtt	42.02 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4	114.28 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.vtt	16.68 kB
3. Onwards to Tensorflow JS!/4. Tensor Dimension and Shapes.html	139.00 B
3. Onwards to Tensorflow JS!/5. Elementwise Operations.mp4	58.36 MB
3. Onwards to Tensorflow JS!/5. Elementwise Operations.vtt	10.45 kB
3. Onwards to Tensorflow JS!/6. Broadcasting Operations.mp4	62.06 MB
3. Onwards to Tensorflow JS!/6. Broadcasting Operations.vtt	9.35 kB
3. Onwards to Tensorflow JS!/7. Broadcasting Elementwise Operations.html	139.00 B
3. Onwards to Tensorflow JS!/8. Logging Tensor Data.mp4	26.00 MB
3. Onwards to Tensorflow JS!/8. Logging Tensor Data.vtt	5.50 kB
3. Onwards to Tensorflow JS!/9. Tensor Accessors.mp4	30.47 MB
3. Onwards to Tensorflow JS!/9. Tensor Accessors.vtt	7.48 kB
4. Applications of Tensorflow/1. KNN with Regression.mp4	54.99 MB
4. Applications of Tensorflow/1. KNN with Regression.vtt	7.06 kB
4. Applications of Tensorflow/10. Reporting Error Percentages.mp4	64.50 MB
4. Applications of Tensorflow/10. Reporting Error Percentages.vtt	8.22 kB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4	92.98 MB
4. Applications of Tensorflow/11. Normalization or Standardization.vtt	10.30 kB
4. Applications of Tensorflow/12. Numerical Standardization with Tensorflow.mp4	53.05 MB
4. Applications of Tensorflow/12. Numerical Standardization with Tensorflow.vtt	10.34 kB
4. Applications of Tensorflow/13. Applying Standardization.mp4	41.46 MB
4. Applications of Tensorflow/13. Applying Standardization.vtt	5.42 kB
4. Applications of Tensorflow/14. Debugging Calculations.mp4	86.71 MB
4. Applications of Tensorflow/14. Debugging Calculations.vtt	11.46 kB
4. Applications of Tensorflow/15. What Now.mp4	42.33 MB
4. Applications of Tensorflow/15. What Now.vtt	5.68 kB
4. Applications of Tensorflow/2. A Change in Data Structure.mp4	41.35 MB
4. Applications of Tensorflow/2. A Change in Data Structure.vtt	5.76 kB
4. Applications of Tensorflow/3. KNN with Tensorflow.mp4	78.71 MB
4. Applications of Tensorflow/3. KNN with Tensorflow.vtt	12.97 kB
4. Applications of Tensorflow/4. Maintaining Order Relationships.mp4	57.75 MB
4. Applications of Tensorflow/4. Maintaining Order Relationships.vtt	9.30 kB
4. Applications of Tensorflow/5. Sorting Tensors.mp4	62.85 MB
4. Applications of Tensorflow/5. Sorting Tensors.vtt	10.64 kB
4. Applications of Tensorflow/6. Averaging Top Values.mp4	58.13 MB
4. Applications of Tensorflow/6. Averaging Top Values.vtt	10.28 kB
4. Applications of Tensorflow/7. Moving to the Editor.mp4	34.34 MB
4. Applications of Tensorflow/7. Moving to the Editor.vtt	4.66 kB
4. Applications of Tensorflow/8. Loading CSV Data.mp4	89.33 MB
4. Applications of Tensorflow/8. Loading CSV Data.vtt	13.19 kB
4. Applications of Tensorflow/9. Running an Analysis.mp4	52.50 MB
4. Applications of Tensorflow/9. Running an Analysis.vtt	8.16 kB
5. Getting Started with Gradient Descent/1. Linear Regression.mp4	25.38 MB
5. Getting Started with Gradient Descent/1. Linear Regression.vtt	3.96 kB
5. Getting Started with Gradient Descent/10. Answering Common Questions.mp4	40.94 MB
5. Getting Started with Gradient Descent/10. Answering Common Questions.vtt	5.25 kB
5. Getting Started with Gradient Descent/11. Gradient Descent with Multiple Terms.mp4	44.20 MB
5. Getting Started with Gradient Descent/11. Gradient Descent with Multiple Terms.vtt	6.57 kB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4	123.16 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.vtt	14.43 kB
5. Getting Started with Gradient Descent/2. Why Linear Regression.mp4	50.34 MB
5. Getting Started with Gradient Descent/2. Why Linear Regression.vtt	6.76 kB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4	126.77 MB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.vtt	17.00 kB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4	93.47 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.vtt	13.57 kB
5. Getting Started with Gradient Descent/5. Observations Around MSE.mp4	56.12 MB
5. Getting Started with Gradient Descent/5. Observations Around MSE.vtt	8.19 kB
5. Getting Started with Gradient Descent/6. Derivatives!.mp4	77.95 MB
5. Getting Started with Gradient Descent/6. Derivatives!.vtt	9.59 kB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4	115.36 MB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.vtt	16.07 kB
5. Getting Started with Gradient Descent/8. Quick Breather and Review.mp4	65.79 MB
5. Getting Started with Gradient Descent/8. Quick Breather and Review.vtt	8.05 kB
5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4	187.28 MB
5. Getting Started with Gradient Descent/9. Why a Learning Rate.vtt	22.69 kB
6. Gradient Descent with Tensorflow/1. Project Overview.mp4	57.05 MB
6. Gradient Descent with Tensorflow/1. Project Overview.vtt	8.35 kB
6. Gradient Descent with Tensorflow/10. More on Matrix Multiplication.mp4	63.25 MB
6. Gradient Descent with Tensorflow/10. More on Matrix Multiplication.vtt	8.24 kB
6. Gradient Descent with Tensorflow/11. Matrix Form of Slope Equations.mp4	59.61 MB
6. Gradient Descent with Tensorflow/11. Matrix Form of Slope Equations.vtt	8.49 kB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4	90.79 MB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.vtt	12.59 kB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4	143.82 MB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.vtt	18.25 kB
6. Gradient Descent with Tensorflow/2. Data Loading.mp4	43.49 MB
6. Gradient Descent with Tensorflow/2. Data Loading.vtt	6.83 kB
6. Gradient Descent with Tensorflow/3. Default Algorithm Options.mp4	62.66 MB
6. Gradient Descent with Tensorflow/3. Default Algorithm Options.vtt	62.68 MB
6. Gradient Descent with Tensorflow/4. Formulating the Training Loop.mp4	27.68 MB
6. Gradient Descent with Tensorflow/4. Formulating the Training Loop.vtt	4.44 kB
6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.mp4	87.93 MB
6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.vtt	12.48 kB
6. Gradient Descent with Tensorflow/6. Calculating MSE Slopes.mp4	67.14 MB
6. Gradient Descent with Tensorflow/6. Calculating MSE Slopes.vtt	8.46 kB
6. Gradient Descent with Tensorflow/7. Updating Coefficients.mp4	33.86 MB
6. Gradient Descent with Tensorflow/7. Updating Coefficients.vtt	4.40 kB
6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4	101.72 MB
6. Gradient Descent with Tensorflow/8. Interpreting Results.vtt	13.60 kB
6. Gradient Descent with Tensorflow/9. Matrix Multiplication.mp4	67.46 MB
6. Gradient Descent with Tensorflow/9. Matrix Multiplication.vtt	9.91 kB
7. Increasing Performance with Vectorized Solutions/1. Refactoring the Linear Regression Class.mp4	72.71 MB
7. Increasing Performance with Vectorized Solutions/1. Refactoring the Linear Regression Class.vtt	10.23 kB
7. Increasing Performance with Vectorized Solutions/10. Reapplying Standardization.mp4	57.96 MB
7. Increasing Performance with Vectorized Solutions/10. Reapplying Standardization.vtt	7.52 kB
7. Increasing Performance with Vectorized Solutions/11. Fixing Standardization Issues.mp4	47.84 MB
7. Increasing Performance with Vectorized Solutions/11. Fixing Standardization Issues.vtt	7.86 kB
7. Increasing Performance with Vectorized Solutions/12. Massaging Learning Rates.mp4	36.45 MB
7. Increasing Performance with Vectorized Solutions/12. Massaging Learning Rates.vtt	4.16 kB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4	121.42 MB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.vtt	15.95 kB
7. Increasing Performance with Vectorized Solutions/14. Refactoring for Multivariate Analysis.mp4	82.36 MB
7. Increasing Performance with Vectorized Solutions/14. Refactoring for Multivariate Analysis.vtt	10.49 kB
7. Increasing Performance with Vectorized Solutions/15. Learning Rate Optimization.mp4	76.69 MB
7. Increasing Performance with Vectorized Solutions/15. Learning Rate Optimization.vtt	11.06 kB
7. Increasing Performance with Vectorized Solutions/16. Recording MSE History.mp4	51.95 MB
7. Increasing Performance with Vectorized Solutions/16. Recording MSE History.vtt	7.11 kB
7. Increasing Performance with Vectorized Solutions/17. Updating Learning Rate.mp4	62.15 MB
7. Increasing Performance with Vectorized Solutions/17. Updating Learning Rate.vtt	8.86 kB
7. Increasing Performance with Vectorized Solutions/2. Refactoring to One Equation.mp4	84.80 MB
7. Increasing Performance with Vectorized Solutions/2. Refactoring to One Equation.vtt	12.16 kB
7. Increasing Performance with Vectorized Solutions/3. A Few More Changes.mp4	66.17 MB
7. Increasing Performance with Vectorized Solutions/3. A Few More Changes.vtt	8.86 kB
7. Increasing Performance with Vectorized Solutions/4. Same Results Or Not.mp4	33.83 MB
7. Increasing Performance with Vectorized Solutions/4. Same Results Or Not.vtt	4.80 kB
7. Increasing Performance with Vectorized Solutions/5. Calculating Model Accuracy.mp4	80.37 MB
7. Increasing Performance with Vectorized Solutions/5. Calculating Model Accuracy.vtt	11.67 kB
7. Increasing Performance with Vectorized Solutions/6. Implementing Coefficient of Determination.mp4	75.79 MB
7. Increasing Performance with Vectorized Solutions/6. Implementing Coefficient of Determination.vtt	10.33 kB
7. Increasing Performance with Vectorized Solutions/7. Dealing with Bad Accuracy.mp4	71.41 MB
7. Increasing Performance with Vectorized Solutions/7. Dealing with Bad Accuracy.vtt	10.41 kB
7. Increasing Performance with Vectorized Solutions/8. Reminder on Standardization.mp4	44.49 MB
7. Increasing Performance with Vectorized Solutions/8. Reminder on Standardization.vtt	6.15 kB
7. Increasing Performance with Vectorized Solutions/9. Data Processing in a Helper Method.mp4	37.17 MB
7. Increasing Performance with Vectorized Solutions/9. Data Processing in a Helper Method.vtt	4.91 kB
8. Plotting Data with Javascript/1. Observing Changing Learning Rate and MSE.mp4	45.83 MB
8. Plotting Data with Javascript/1. Observing Changing Learning Rate and MSE.vtt	5.93 kB
8. Plotting Data with Javascript/2. Plotting MSE Values.mp4	61.40 MB
8. Plotting Data with Javascript/2. Plotting MSE Values.vtt	7.23 kB
8. Plotting Data with Javascript/3. Plotting MSE History against B Values.mp4	47.81 MB
8. Plotting Data with Javascript/3. Plotting MSE History against B Values.vtt	6.22 kB
9. Gradient Descent Alterations/1. Batch and Stochastic Gradient Descent.mp4	77.24 MB
9. Gradient Descent Alterations/1. Batch and Stochastic Gradient Descent.vtt	10.11 kB
9. Gradient Descent Alterations/2. Refactoring Towards Batch Gradient Descent.mp4	55.11 MB
9. Gradient Descent Alterations/2. Refactoring Towards Batch Gradient Descent.vtt	7.09 kB
9. Gradient Descent Alterations/3. Determining Batch Size and Quantity.mp4	66.09 MB
9. Gradient Descent Alterations/3. Determining Batch Size and Quantity.vtt	7.84 kB
9. Gradient Descent Alterations/4. Iterating Over Batches.mp4	67.45 MB
9. Gradient Descent Alterations/4. Iterating Over Batches.vtt	10.56 kB
9. Gradient Descent Alterations/5. Evaluating Batch Gradient Descent Results.mp4	66.23 MB
9. Gradient Descent Alterations/5. Evaluating Batch Gradient Descent Results.vtt	7.98 kB
9. Gradient Descent Alterations/6. Making Predictions with the Model.mp4	79.50 MB
9. Gradient Descent Alterations/6. Making Predictions with the Model.vtt	10.48 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Machine Learning with Javascript